One Population Mean Confidence Interval
Quiz
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Science
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University
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Practice Problem
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Barbara White
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20 questions
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1.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
A sample mean is the best point estimate of _______.
A. The population standard deviation
B. The population median
C. The population mean
D. The sample standard deviation
2.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
A sample standard deviation is the best point estimate of the ___________.
A. Population range
B. Population skewness
C. Population mode
D. Population standard deviation
3.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
A confidence interval for a population mean __________.
A. Estimates the population range
B. Estimates a likely interval for a population mean
C. Estimates likelihood or probability
D. Estimates the population standard deviation
4.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Knowing the population standard deviation, a 95% confidence interval infers that the
population mean ___________.
A. Is between 0 and 100%
B. Is within ±1.96 standard deviations of the sample mean
C. Is within ±1.96 standard errors of the sample mean
D. Is too large
5.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
When a confidence interval for a population mean is constructed from sample data,
__________.
A. We can conclude that the population mean is in the interv
B. We can conclude that the population mean is not in the interval
C. We can conclude, for an infinite number of samples and corresponding confidence
intervals, that the population mean is in a stated percentage of the intervals
D. We cannot make any inferences
6.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
The distribution of Student's t is ________.
A. Symmetrical
B. Negatively skewed
C. Positively skewed
D. A discrete probability distribution
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When using Student's t to compute an interval estimate, ___________.
A. We assume that the samples are collected from populations that are uniformly
distributed
B. We estimate the population mean based on the sample mean
C. We use the z distribution
D. We assume that the samples are collected from normally distributed populations
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